{ "created": "2021-08-06 04:10:45", "updated": "2026-05-01 23:11:26", "id": "dc1d0ad1-389a-4740-a6b7-f4dbbf799d09", "version": 2, "ds_topic": null, "title_cn": "黑河生态水文遥感试验：黑河流域中游覆盖度和生物量观测数据集(2014年)", "title_en": "Heihe River eco hydrological remote sensing experiment: observation data set of coverage and biomass in the middle reaches of Heihe River Basin (2014)", "ds_abstract": "

本数据包括大满超级站、湿地、沙漠、荒漠和戈壁五个站点植被一个生长周期内的覆盖度数据集以及大满超级站玉米和湿地芦苇两种植被一个生长周期内的生物量数据集。观测时间自2014年5月10日开始，9月11日结束。\n

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1 覆盖度观测\n

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1.1 观测时间\n

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1.1.1 超级站：观测时间段2014年5月10日-9月11日， 7月20日以前每5天观测一次，7月20后每10天观测一次，共做了17次观测，具体观测时间如下；超级站：2014-5-10、2014-5-15、2014-5-20、2014-5-25、2014-5-30、2014-6-10、2014-6-15、2014-6-20、2014-6-25、2014-6-30、2014-7-5、2014-7-10、2014-7-15、2014-7-20、2014-8-5、2014-8-17、2014-9-11\n

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1.1.2 其它四个站：观测时间段2014年5月20日-9月15日，每10天观测一次，共做了11次观测，具体观测时间如下；其它四个站：2014-5-10、2014-5-20、2014-5-30、2014-6-10、2014-6-20、2014-6-30、2014-7-10、2014-7-20、2014-8-5、2014-8-17、2014-9-11\n

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1.2 观测方法\n

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1.2.1 测量仪器与原理：采用数码相机拍照的方法测量，将数码相机置于简易支撑杆前端的仪器平台，保持拍摄的竖直向下，远程控制相机测量数据。观测架可以用来改变相机的拍摄高度，面向不同类型植被实现有针对性的测量。\n

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1.2.2 样方的设计\n

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超级站：共取3块样地，每块样地样方大小10×10米，每样地每次测量时沿两条对角线依次拍照，共取9-10张照片；湿地站：共取2块样地，每块样地样方大小10×10米，每样地每次测量拍9-10张照片；其它3个站：选取1块样地，每块样地样方大小10×10米，每样地每次测量拍9-10张照片。\n

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1.2.3 拍摄方法\n

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针对超级站玉米和湿地站芦苇，直接采用观测架观测，保证观测架上的相机距离植被冠层的高度远大于植被冠幅，在方形样方内沿着对角线采样，然后做算术平均。在视场角度不大(<30°)的情况下，视场内包括大于2个整周期的垄行，相片的边长与垄行平行；其它三个站点由于植被比较低矮，直接用相机垂直向下拍照（未使用支架）。\n

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1.2.4 覆盖度计算\n覆盖度计算由北京师范大学完成，采用一种自动分类方法，具体见 “建议参考文献”第1条文献。通过RGB颜色空间转换到更容易区分绿色植被的Lab空间，对绿度分量a的直方图进行聚类，分离出绿色植被和非绿色背景2组分，获得单张相片的植被覆盖度。该方法的优点在于其算法简单、易于实现而且自动化程度和精度较高。今后还需要更多的快速、自动、准确的分类方法，最大限度发挥数码相机方法的优势。\n

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2 生物量观测\n

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2.1 观测时间\n

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2.1.1 玉米：观测时间段2014年5月10日-9月11日，7月20日以前每5天观测一次，7月20后每10天观测一次，共做了17次观测，具体观测时间如下；超级站：2014-5-10、2014-5-15、2014-5-20、2014-5-25、2014-5-30、2014-6-10、2014-6-15、2014-6-20、2014-6-25、2014-6-30、2014-7-5、2014-7-10、2014-7-15、2014-7-20、2014-8-5、2014-8-17、2014-9-11\n

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2.1.2 芦苇：观测时间段2014年5月20日-9月15日，每10天观测一次，共做了11次观测，具体观测时间如下；2014-5-10、2014-5-20、2014-5-30、2014-6-10、2014-6-20、2014-6-30、2014-7-10、2014-7-20、2014-8-5、2014-8-17、2014-9-11\n

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2.2 观测方法\n玉米：选取3块样地，每块样地每次观测选取代表样地平均水平的三株玉米分别称每株玉米的鲜重（地上生物量+地下生物量）和相应的干重（85℃恒温烘干），根据种植的株距和行距计算单位面积玉米的生物量；芦苇：设置2个0.5mÍ0.5m的样方，齐地刈割，分别称取芦苇的鲜重（茎叶）和干重（85℃恒温烘干）。\n

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2.3 观测仪器天平（精度0.01g）、烘箱。\n

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3 数据的存储\n所有观测数据先手薄记录后整理到Excel表中存储，同时整理了玉米种植结构数据，包括种植的株距、行距，种植时间、灌水时间、除父本时间以及收割时间等相关信息。

", "ds_source": "

本数据包括大满超级站、湿地、沙漠、荒漠和戈壁五个站点植被一个生长周期内的覆盖度数据集以及大满超级站玉米和湿地芦苇两种植被一个生长周期内的生物量数据集。观测时间自2014年5月10日开始，9月11日结束。

", "ds_process_way": "

玉米：选取3块样地，每块样地每次观测选取代表样地平均水平的三株玉米分别称每株玉米的鲜重（地上生物量+地下生物量）和相应的干重（85℃恒温烘干），根据种植的株距和行距计算单位面积玉米的生物量；芦苇：设置2个0.5mÍ0.5m的样方，齐地刈割，分别称取芦苇的鲜重（茎叶）和干重（85℃恒温烘干）。

", "ds_quality": "

数据质量良好", "ds_acq_start_time": "2014-05-21 00:00:00", "ds_acq_end_time": "2014-09-22 00:00:00", "ds_acq_place": "黑河流域, 中游人工绿洲试验区, 沙漠, 戈壁, 湿地, 荒漠, 大满超级站", "ds_acq_lon_east": 100.7, "ds_acq_lat_south": 38.5, "ds_acq_lon_west": 100.25, "ds_acq_lat_north": 38.980000000000004, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 41850, "ds_files_count": 4, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "dc1d0ad1-389a-4740-a6b7-f4dbbf799d09.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由“黑河生态水文遥感试验（HiWATER）”产生，用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "c94b3578-20da-4346-9de9-c702b6ca8983", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2021-09-14 09:56:19", "last_updated": "2023-11-02 14:51:22", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2491.2022", "i18n": { "en": { "title": "Heihe River eco hydrological remote sensing experiment: observation data set of coverage and biomass in the middle reaches of Heihe River Basin (2014)", "ds_format": "", "ds_source": "

This data includes the vegetation coverage data set of Daman super station, wetland, desert, desert and Gobi in one growth cycle and the biomass data set of corn and wetland reed in one growth cycle. The observation time began on May 10 and ended on September 11, 2014", "ds_quality": "

Good data quality < / P >", "ds_ref_way": "", "ds_abstract": "

This data includes the vegetation coverage data set of Daman super station, wetland, desert, desert and Gobi in one growth cycle and the biomass data set of corn and wetland reed in one growth cycle. The observation time began on May 10 and ended on September 11, 2014.\n

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1 coverage observation\n

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1.1 observation time\n

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1.1.1 super station: the observation period is from May 10 to September 11, 2014. It is observed every 5 days before July 20 and every 10 days after July 20. A total of 17 observations have been made. The specific observation time is as follows; Super stations: 2014-5-10, 2014-5-15, 2014-5-20, 2014-5-25, 2014-5-30, 2014-6-10, 2014-6-15, 2014-6-20, 2014-6-25, 2014-6-30, 2014-7-5, 2014-7-10, 2014-7-15, 2014-7-20, 2014-8-5, 2014-8-17, 2014-9-11\n

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1.1.2 other four stations: the observation period is from May 20 to September 15, 2014, once every 10 days, and a total of 11 observations have been made. The specific observation time is as follows; Other four stations: 2014-5-10, 2014-5-20, 2014-5-30, 2014-6-10, 2014-6-20, 2014-6-30, 2014-7-10, 2014-7-20, 2014-8-5, 2014-8-17, 2014-9-11\n

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1.2 observation method\n

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1.2.1 measuring instrument and principle: take photos with a digital camera, place the digital camera on the instrument platform at the front end of the simple support rod, keep the shooting vertical and downward, and remotely control the camera to measure data. The observation frame can be used to change the shooting height of the camera and realize targeted measurement for different types of vegetation.\n

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1.2.2 quadrat design\n

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Super station: a total of 3 sample plots are taken, and the quadrat size of each sample plot is 10 × 10 meters. Take photos along two diagonals during each measurement of each sample plot, and take 9-10 photos in total; Wetland station: a total of 2 sample plots are taken, and the quadrat size of each sample plot is 10 × 10 meters, take 9-10 photos for each measurement; Other 3 stations: select 1 sample plot, and the quadrat size of each sample plot is 10 × 10 meters, take 9-10 photos for each measurement.\n

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1.2.3 shooting method\n

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For the super station corn and wetland station reed, the observation frame is directly used to ensure that the height of the camera on the observation frame from the vegetation canopy is much greater than the vegetation canopy. Samples are taken along the diagonal in the square quadrat, and then arithmetic average is made. Small angle in field of view ( lt; In the case of 30 °), the field of view includes more than 2 full cycle ridges, and the side length of the photo is parallel to the ridges; Due to the low vegetation of the other three stations, the camera is directly used to take pictures vertically downward (without support).\n

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1.2.4 coverage calculation\n

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2 biomass observation\n

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2.1 observation time\n

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2.1.1 corn: the observation period is from May 10 to September 11, 2014. It is observed every 5 days before July 20 and every 10 days after July 20. A total of 17 observations have been made. The specific observation time is as follows; Super stations: 2014-5-10, 2014-5-15, 2014-5-20, 2014-5-25, 2014-5-30, 2014-6-10, 2014-6-15, 2014-6-20, 2014-6-25, 2014-6-30, 2014-7-5, 2014-7-10, 2014-7-15, 2014-7-20, 2014-8-5, 2014-8-17, 2014-9-11\n

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2.1.2 Reed: during the observation period from May 20 to September 15, 2014, 11 observations were made every 10 days. The specific observation time is as follows; 2014-5-10、2014-5-20、2014-5-30、2014-6-10、2014-6-20、2014-6-30、2014-7-10、2014-7-20、2014-8-5、2014-8-17、2014-9-11\n

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2.2 observation method\nCorn: three sample plots are selected, and three corn plants representing the average level of each sample plot are selected for each observation. The fresh weight (aboveground biomass + underground biomass) and corresponding dry weight (constant temperature drying at 85 ℃) of each corn plant are respectively weighed. The biomass of corn per unit area is calculated according to the plant spacing and row spacing planted; Reed: set two 0.5m-0.5m quadrats, cut them evenly, and weigh the fresh weight (stem and leaf) and dry weight (drying at 85 ℃).\n

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2.3 observation instrument balance (accuracy: 0.01g) and oven.\n

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3 data storage\nAll observation data were recorded in a thin book and then sorted into excel table for storage. At the same time, the data of corn planting structure were sorted out, including plant spacing, row spacing, planting time, irrigation time, time except male parent and harvest time

", "ds_time_res": "日", "ds_acq_place": "Heihe River Basin, pilot area of artificial oasis in the middle reaches, desert, Gobi, wetland, desert, Daman super station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

Corn: three sample plots are selected, and three corn plants representing the average level of each sample plot are selected for each observation. The fresh weight (aboveground biomass + underground biomass) and corresponding dry weight (constant temperature drying at 85 ℃) of each corn plant are respectively weighed. The biomass of corn per unit area is calculated according to the plant spacing and row spacing planted; Reed: set two 0.5m-0.5m quadrats, cut them evenly, and weigh the fresh weight (stem and leaf) and dry weight (drying at 85 ℃)", "ds_ref_instruction": "This data is generated by \"Heihe eco hydrological remote sensing experiment (hiwater)\". When using the data, users should clearly state the source of the data in the text and quote the reference method provided by this metadata in the reference part." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "植被", "生物量", "机载", "地面遥感", "鱼眼相机", "植被盖度" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "黑河流域", "中游人工绿洲试验区", "沙漠", "戈壁", "湿地", "荒漠", "大满超级站" ], "ds_time_tags": [ 2014 ], "ds_contributors": [ { "true_name": "耿丽英", "email": "gengly02@163.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "李艺梦", "email": "gengly@lzb.ac.cn", "work_for": "中国科学院寒区旱区环境与工程研究所", "country": "中国" }, { "true_name": "谭俊磊", "email": "tanjunlei@163.com", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "马明国", "email": "mmg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "马明国", "email": "mmg@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "遥感及产品" }